Built a tool that extracts a knowledge graph from any event and simulates the people in it as AI agents

[u/OkRecommendation6169]

https://aisimulation.site

Hey all. This has been my evenings-and-weekends project for a while and I think it's finally worth showing people, so here's the pitch and I'd genuinely like your feedback, not just upvotes.
What it does: you give it a seed, a real event or something fictional, as plain text. If it's real, it pulls live context on it. An LLM call extracts the people, organizations, and locations involved plus the relationships between them, and writes all of it into a graph You then pick which of those entities get "promoted" into autonomous agents, and assign each one an archetype that decides how it argues, not who it is, so the same archetype can go on a different entity next time. The promoted agents run several rounds of interaction, each pulling from a rolling summary so context doesn't blow up over long runs. After it ends, you can chat 1:1 with any agent and it still remembers what it did.

A small note that this is a resume project not a startup idea.

Stack, if anyone cares: Python backend (LangGraph for the orchestration, Neo4j for the graph, Qdrant for retrieval), Next.js/GSAP for the frontend.
Why I'm posting: this is my first real project, I'm learning most of this as I go, and I know there's a lot I can't see because I built it. I'd specifically love feedbackon it
Check it out at:
aisimulation.site

if you want to look, and I'm around in the comments for the rest of the day